将图形与grid.arrange组合并调整绘图大小和轴标签

Question

我想两者结合起来ggplots使用grid.arrange,只有一个普通的传说.我设法将这两个传说与一个小技巧结合起来,但是由于我从第一个图中删除了传说grid.arrange,当然这个传说更广泛.如何将两个绘图区域设置为相同的大小？而且我希望在两个图下方都有一个共同的x轴标签.有可能grid.arrange吗？我知道,之前已经回答了类似的问题,但我仍然是新手,R而且解决方案太复杂,或者我无法将它们与我的数据相匹配.

所以这是我的两个数据集:

testxy
  SN strain     est     low      up
1  A     xy 11.6751 11.1480 12.2021
2  B     xy 11.4211 11.1108 11.7314
3  C     xy  2.6603  2.4291  2.8915
4  D     xy  4.5503  4.2972  4.8034

testyz
  SN strain     est     low      up
5  A     yz 22.1761 21.5136 22.8387
6  C     yz 21.4829 21.0251 21.9408
7  B     yz 19.3294 18.8950 19.7639
8  D     yz 19.9990 19.3934 20.6047

这是我到目前为止的代码.它接近我想要的,但只是关闭:

p1<-ggplot(data=testxy, aes(colour=strain, x=SN, y=est))+
theme(panel.background = element_rect(fill = 'white', colour = 'black'))+
theme(legend.position="none")+
theme(axis.title.x = element_text(size = rel(1.5), vjust=-0.1), 
axis.title.y = element_text(size = rel(1.5), vjust=1), axis.text.y = element_text(size = rel(1.4)), axis.text.x = element_text(hjust = 1, size = rel(1.5)),plot.title = element_text(size = rel(2.5), lineheight=1, face="bold"))+
      theme(plot.margin=unit(c(5,5,5,5),"mm"))+
      labs(x="treatment", y="integral", title="xy")+
      scale_colour_manual(name="strain", values=c(xy="blue"))+
      theme(strip.text.x = element_text(size=12, face="bold"), strip.background = element_rect(colour="black", fill="white"))+
      geom_point(aes(color="xy"), size=5, alpha=0.1, shape=16)+
      geom_errorbar(aes(ymin=low, ymax=up, width=0.2), colour="deepskyblue", size=0.8)+
      scale_y_continuous(breaks=seq(5,20,5), limits=c(2,23.5))

p2<-ggplot(data=testyz, aes(colour=strain, x=SN, y=est))+
  theme(panel.background = element_rect(fill = 'white', colour = 'black'))+
  theme(legend.position="right")+
  theme(axis.title.x = element_text(size = rel(1.5), vjust=-0.1), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.text.x = element_text(hjust = 1, size = rel(1.5)), plot.title = element_text(size = rel(2.5), lineheight=1, face="bold"))+
  theme(plot.margin=unit(c(5,5,5,5),"mm"))+
  labs(x="treatment", y=NULL, title="yz")+
  scale_colour_manual(name="strain", values=c(yz="green", xy="blue"))+
  theme(strip.text.x = element_text(size=12, face="bold"), strip.background = element_rect(colour="black", fill="white"))+
  geom_point(aes(color="yz"), size=5, alpha=0.1, shape=16)+
  geom_point(aes(color="xy"), size=0)+
  geom_errorbar(aes(ymin=low, ymax=up, width=0.2), colour="green", size=0.8)+
  scale_y_continuous(breaks=seq(5,20,5), limits=c(2,23.5))+
  scale_x_discrete(limits=c("A", "C", "B", "D"))

grid.arrange(p1,p2, ncol=2)

我以前试过过facetting.它看起来非常好,但不幸的是,我需要改变levelsx轴上的顺序.所以,我认为facetting对我不起作用.

我希望你能帮助我.

干杯安妮

Answer 1

您应该使用分面：

testxy <- read.table(text = "  SN strain     est     low      up
1  A     xy 11.6751 11.1480 12.2021
2  B     xy 11.4211 11.1108 11.7314
3  C     xy  2.6603  2.4291  2.8915
4  D     xy  4.5503  4.2972  4.8034", header = TRUE)

testyz <- read.table(text = "   SN strain     est     low      up
5  A     yz 22.1761 21.5136 22.8387
6  C     yz 21.4829 21.0251 21.9408
7  B     yz 19.3294 18.8950 19.7639
8  D     yz 19.9990 19.3934 20.6047", header = TRUE)

test <- rbind(cbind(testxy, fac = "xy"),
              cbind(testyz, fac = "yz"))


test$SN1 <- interaction(test$SN, test$fac)
test$SN1 <- ordered(test$SN1, levels = test$SN1)


ggplot(data=test, aes(colour=strain, x=SN1, y=est)) +
  geom_point() + 
  facet_wrap(~ fac, scales = "free_x") +
  scale_x_discrete(labels = setNames(as.character(test$SN), as.character(test$SN1))) 

然而，这不是一个好的图，因为读者通常不会注意到 x 轴是不同的。